1310 search results - page 37 / 262 » Learning the k in k-means |
ICSEA
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper discusses an interdisciplinary educational initiative led by an instructional team with backgrounds in engineering and psychology in the context of an ergonomics course...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
Let us assume that f is a continuous function defined on the unit ball of Rd , of the form f(x) = g(Ax), where A is a k×d matrix and g is a function of k variables for k ≪ d. ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
IPL
2010
14 years 8 months ago
2010
We study the problem of learning parity functions that depend on at most k variables (kparities) attribute-efficiently in the mistake-bound model. We design a simple, deterministi...